AQC0731

Nanopublication — Computational Image Analysis - AQC0731

Claim 1: Computational Image Analysis - AQC0731

Computational image analysis [3] of artwork E Major [1] - Research on Harmony - Variation 2 (AQC0731) [2] by Arnaud Quercy [2] using k-means clustering method with 10 color extraction parameters. Analysis includes color distribution, texture metrics, brightness/contrast measurements, and spatial pattern characterization. Analysis completed on 2026-02-04.

Context

Analysis performed according to MMIDS-CMP-2025 [3] includes four metric categories: (1) Color distribution via k-means (10 colors), (2) Texture analysis using Haralick features, (3) Brightness and contrast measurements, (4) Spatial pattern characterization. Source image [5]: 3024x4032 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 574534 15.4 orange dark brown
2 EBA222 13.0 yellow-orange goldenrod
3 719DC6 11.9 blue-violet cornflowerblue
4 37291E 11.7 orange very dark gray
5 5888B5 11.3 blue-violet grayish purple
6 6A5A49 10.5 orange dimgray
7 5A616A 10.1 blue-violet grayish purple
8 7E7A71 9.5 yellow-orange gray
9 CBA042 4.9 yellow-orange peru
10 E3C27C 1.6 yellow-orange burlywood
11 E2D8AB 0.3 yellow palegoldenrod [Accent]
12 11142A 0.3 violet very dark purple [Accent]
13 7E9896 0.3 green lightslategray [Accent]

Color Families:

Family %
orange 37.6
blue-violet 33.3
yellow-orange 29.1
yellow 0.3
violet 0.3
green 0.3

Accent Colors:

Hex Family Name Chroma
E2D8AB yellow palegoldenrod 23.3
11142A violet very dark purple 16.2
7E9896 green lightslategray 10.2

Texture Analysis

Metric Value
Global Roughness 0.166
Mean Local Roughness 0.027
Roughness Uniformity 0.023
Edge Density 0.139
Mean Gradient Magnitude 0.198
Gradient Variance 0.053
Gradient Smoothness 0.0
Directional Coherence 0.014
Pattern Complexity 0.129
Pattern Repetition 1.0
Detail Frequency Ratio 0.667
Spatial Variation 0.111
Texture Consistency 0.577

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.444
Brightness Variance 0.166
Brightness Uniformity 0.626
Brightness Skewness -0.042
Brightness Entropy 7.255
Rms Contrast 0.166
Michelson Contrast 1.0
Weber Contrast 0.694
Mean Local Contrast 0.027
Contrast Uniformity 0.172
Dynamic Range 1.0
Effective Dynamic Range 0.514
Shadow Percentage 29.117
Midtone Percentage 60.438
Highlight Percentage 10.446
Shadow Clipping 0.001
Highlight Clipping 0.0
Tonal Balance 0.052
Fine Contrast 0.015
Medium Contrast 0.034
Coarse Contrast 0.044
Multiscale Contrast Ratio 0.349
Edge Contrast 0.198
Contrast Clustering 0.423

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.716
Color Clustering 0.426
Color Transition Smoothness 0.478
Transition Uniformity 0.629
Sharp Transition Ratio 0.1
Transition Directionality 0.015
Mean Saturation 0.437
Saturation Variance 0.055
Low Saturation Ratio 0.265
Medium Saturation Ratio 0.581
High Saturation Ratio 0.154
Saturation Clustering 0.999
Hue Concentration 0.345
Complementary Balance 0.325
Analogous Dominance 0.674
Temperature Bias 0.349

Methodology

This analysis employs standardized computational methods for objective image characterization. Color extraction uses k-means clustering algorithm. Texture analysis applies Haralick feature extraction. Brightness metrics include mean, variance, and distribution analysis. Spatial patterns are characterized through coherence and clustering measurements. All methods are deterministic and reproducible. Analysis performed by Multimodal Institute's computational imaging systems.

References

[1] Arnaud Quercy (2024). E Major - Research on Harmony - Variation 2 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0731.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/e-major-research-on-harmony-variation-2_84i.html

[3] Quercy, A. (2025). Computational Image Analysis Standard - MMIDS-CMP-2025 https://multimodal.institute/en/publications/2025/11/mmids-cmp-2025-computational-image-analysis-standard-dg1.html

Epistemic profile

Claim typecomputational analysis
Voicethird person
Epistemic statusempirical measurement
Methodologycomputational analysis
Certaintyhigh

Checksum (SHA-256)

e726ced3d7c3716c63101efedcdf386cd9636c1eeb258cb4d3a1c56a9e12621c